1
|
Garroway CJ, de Greef E, Lefort KJ, Thorstensen MJ, Foote AD, Matthews CJD, Higdon JW, Kucheravy CE, Petersen SD, Rosing-Asvid A, Ugarte F, Dietz R, Ferguson SH. Climate change introduces threatened killer whale populations and conservation challenges to the Arctic. GLOBAL CHANGE BIOLOGY 2024; 30:e17352. [PMID: 38822670 DOI: 10.1111/gcb.17352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 05/04/2024] [Accepted: 05/07/2024] [Indexed: 06/03/2024]
Abstract
The Arctic is the fastest-warming region on the planet, and the lengthening ice-free season is opening Arctic waters to sub-Arctic species such as the killer whale (Orcinus orca). As apex predators, killer whales can cause significant ecosystem-scale changes. Setting conservation priorities for killer whales and their Arctic prey species requires knowledge of their evolutionary history and demographic trajectory. Using whole-genome resequencing of 24 killer whales sampled in the northwest Atlantic, we first explored the population structure and demographic history of Arctic killer whales. To better understand the broader geographic relationship of these Arctic killer whales to other populations, we compared them to a globally sampled dataset. Finally, we assessed threats to Arctic killer whales due to anthropogenic harvest by reviewing the peer-reviewed and gray literature. We found that there are two highly genetically distinct, non-interbreeding populations of killer whales using the eastern Canadian Arctic. These populations appear to be as genetically different from each other as are ecotypes described elsewhere in the killer whale range; however, our data cannot speak to ecological differences between these populations. One population is newly identified as globally genetically distinct, and the second is genetically similar to individuals sampled from Greenland. The effective sizes of both populations recently declined, and both appear vulnerable to inbreeding and reduced adaptive potential. Our survey of human-caused mortalities suggests that harvest poses an ongoing threat to both populations. The dynamic Arctic environment complicates conservation and management efforts, with killer whales adding top-down pressure on Arctic food webs crucial to northern communities' social and economic well-being. While killer whales represent a conservation priority, they also complicate decisions surrounding wildlife conservation and resource management in the Arctic amid the effects of climate change.
Collapse
Affiliation(s)
- Colin J Garroway
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Evelien de Greef
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Kyle J Lefort
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- Fisheries and Oceans Canada, Freshwater Institute, Winnipeg, Manitoba, Canada
| | - Matt J Thorstensen
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Andrew D Foote
- Centre for Ecological and Evolutionary Synthesis (CEES), University of Oslo, Oslo, Norway
| | - Cory J D Matthews
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- Fisheries and Oceans Canada, Freshwater Institute, Winnipeg, Manitoba, Canada
| | - Jeff W Higdon
- Higdon Wildlife Consulting, Winnipeg, Manitoba, Canada
| | - Caila E Kucheravy
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- Fisheries and Oceans Canada, Freshwater Institute, Winnipeg, Manitoba, Canada
| | - Stephen D Petersen
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- Conservation and Research Department, Assiniboine Park Zoo, Winnipeg, Manitoba, Canada
| | | | | | - Rune Dietz
- Department of Ecoscience, Aarhus University, Roskilde, Denmark
| | - Steven H Ferguson
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- Fisheries and Oceans Canada, Freshwater Institute, Winnipeg, Manitoba, Canada
| |
Collapse
|
2
|
Rancilhac L, Enbody ED, Harris R, Saitoh T, Irestedt M, Liu Y, Lei F, Andersson L, Alström P. Introgression Underlies Phylogenetic Uncertainty But Not Parallel Plumage Evolution in a Recent Songbird Radiation. Syst Biol 2024; 73:12-25. [PMID: 37801684 PMCID: PMC11129591 DOI: 10.1093/sysbio/syad062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 09/11/2023] [Accepted: 10/05/2023] [Indexed: 10/08/2023] Open
Abstract
Instances of parallel phenotypic evolution offer great opportunities to understand the evolutionary processes underlying phenotypic changes. However, confirming parallel phenotypic evolution and studying its causes requires a robust phylogenetic framework. One such example is the "black-and-white wagtails," a group of 5 species in the songbird genus Motacilla: 1 species, Motacilla alba, shows wide intra-specific plumage variation, while the 4r others form 2 pairs of very similar-looking species (M. aguimp + M. samveasnae and M. grandis + M. maderaspatensis, respectively). However, the 2 species in each of these pairs were not recovered as sisters in previous phylogenetic inferences. Their relationships varied depending on the markers used, suggesting that gene tree heterogeneity might have hampered accurate phylogenetic inference. Here, we use whole genome resequencing data to explore the phylogenetic relationships within this group, with a special emphasis on characterizing the extent of gene tree heterogeneity and its underlying causes. We first used multispecies coalescent methods to generate a "complete evidence" phylogenetic hypothesis based on genome-wide variants, while accounting for incomplete lineage sorting (ILS) and introgression. We then investigated the variation in phylogenetic signal across the genome to quantify the extent of discordance across genomic regions and test its underlying causes. We found that wagtail genomes are mosaics of regions supporting variable genealogies, because of ILS and inter-specific introgression. The most common topology across the genome, supporting M. alba and M. aguimp as sister species, appears to be influenced by ancient introgression. Additionally, we inferred another ancient introgression event, between M. alba and M. grandis. By combining results from multiple analyses, we propose a phylogenetic network for the black-and-white wagtails that confirms that similar phenotypes evolved in non-sister lineages, supporting parallel plumage evolution. Furthermore, the inferred reticulations do not connect species with similar plumage coloration, suggesting that introgression does not underlie parallel plumage evolution in this group. Our results demonstrate the importance of investing genome-wide patterns of gene tree heterogeneity to help understand the mechanisms underlying phenotypic evolution. [Gene tree heterogeneity; incomplete lineage sorting; introgression; parallel evolution; phylogenomics; plumage evolution; wagtails.].
Collapse
Affiliation(s)
- Loïs Rancilhac
- Animal Ecology, Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Norbyvägen 18 D, 752 36 Uppsala, Sweden
| | - Erik D Enbody
- Department of Medical Biochemistry and Microbiology, Uppsala University, 751 23 Uppsala, Sweden
- Biomolecular Engineering, University of California, 95064 Santa Cruz, CA, USA
| | - Rebecca Harris
- Department of Biology, University of Washington, Seattle, WA 98105, USA
| | - Takema Saitoh
- Yamashina Institute for Ornithology, 115 Konoyama, Abiko, Chiba 270-1145, Japan
| | - Martin Irestedt
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, P.O. Box 50007, 104 05 Stockholm, Sweden
| | - Yang Liu
- State Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Shenzhen 518107, China
| | - Fumin Lei
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China
| | - Leif Andersson
- Department of Medical Biochemistry and Microbiology, Uppsala University, 751 23 Uppsala, Sweden
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX 77843, USA
| | - Per Alström
- Animal Ecology, Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Norbyvägen 18 D, 752 36 Uppsala, Sweden
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China
| |
Collapse
|
3
|
Morin PA, McCarthy ML, Fung CW, Durban JW, Parsons KM, Perrin WF, Taylor BL, Jefferson TA, Archer FI. Revised taxonomy of eastern North Pacific killer whales ( Orcinus orca): Bigg's and resident ecotypes deserve species status. ROYAL SOCIETY OPEN SCIENCE 2024; 11:231368. [PMID: 38545612 PMCID: PMC10966402 DOI: 10.1098/rsos.231368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 01/29/2024] [Accepted: 02/10/2024] [Indexed: 04/26/2024]
Abstract
Killer whales (Orcinus orca) are currently recognized as a single ecologically and morphologically diverse, globally distributed species. Multiple morphotypes or ecotypes have been described, often associated with feeding specialization, and several studies have suggested taxonomic revision to include multiple subspecies or species in the genus. We review the ecological, morphological and genetic data for the well-studied 'resident' and Bigg's (aka 'transient') ecotypes in the eastern North Pacific and use quantitative taxonomic guidelines and standards to determine whether the taxonomic status of these killer whale ecotypes should be revised. Our review and new analyses indicate that species-level status is justified in both cases, and we conclude that eastern North Pacific Bigg's killer whales should be recognized as Orcinus rectipinnus (Cope in Scammon, 1869) and resident killer whales should be recognized as Orcinus ater (Cope in Scammon, 1869).
Collapse
Affiliation(s)
- Phillip A. Morin
- Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA92037, USA
| | - Morgan L. McCarthy
- Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA92037, USA
| | - Charissa W. Fung
- University of British Columbia, Vancouver, British ColumbiaV6T 1Z4, Canada
| | - John W. Durban
- Marine Mammal Institute, Oregon State University, Newport, OR97365, USA
| | - Kim M. Parsons
- Northwest Fisheries Science Center, National Marine Fisheries Service, NOAA, Seattle, WA98112, USA
| | - William F. Perrin
- Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA92037, USA
| | - Barbara L. Taylor
- Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA92037, USA
| | - Thomas A. Jefferson
- Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA92037, USA
| | - Frederick I. Archer
- Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA92037, USA
| |
Collapse
|
4
|
Bukhman YV, Morin PA, Meyer S, Chu LF, Jacobsen JK, Antosiewicz-Bourget J, Mamott D, Gonzales M, Argus C, Bolin J, Berres ME, Fedrigo O, Steill J, Swanson SA, Jiang P, Rhie A, Formenti G, Phillippy AM, Harris RS, Wood JMD, Howe K, Kirilenko BM, Munegowda C, Hiller M, Jain A, Kihara D, Johnston JS, Ionkov A, Raja K, Toh H, Lang A, Wolf M, Jarvis ED, Thomson JA, Chaisson MJP, Stewart R. A High-Quality Blue Whale Genome, Segmental Duplications, and Historical Demography. Mol Biol Evol 2024; 41:msae036. [PMID: 38376487 PMCID: PMC10919930 DOI: 10.1093/molbev/msae036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 01/11/2024] [Accepted: 01/22/2024] [Indexed: 02/21/2024] Open
Abstract
The blue whale, Balaenoptera musculus, is the largest animal known to have ever existed, making it an important case study in longevity and resistance to cancer. To further this and other blue whale-related research, we report a reference-quality, long-read-based genome assembly of this fascinating species. We assembled the genome from PacBio long reads and utilized Illumina/10×, optical maps, and Hi-C data for scaffolding, polishing, and manual curation. We also provided long read RNA-seq data to facilitate the annotation of the assembly by NCBI and Ensembl. Additionally, we annotated both haplotypes using TOGA and measured the genome size by flow cytometry. We then compared the blue whale genome with other cetaceans and artiodactyls, including vaquita (Phocoena sinus), the world's smallest cetacean, to investigate blue whale's unique biological traits. We found a dramatic amplification of several genes in the blue whale genome resulting from a recent burst in segmental duplications, though the possible connection between this amplification and giant body size requires further study. We also discovered sites in the insulin-like growth factor-1 gene correlated with body size in cetaceans. Finally, using our assembly to examine the heterozygosity and historical demography of Pacific and Atlantic blue whale populations, we found that the genomes of both populations are highly heterozygous and that their genetic isolation dates to the last interglacial period. Taken together, these results indicate how a high-quality, annotated blue whale genome will serve as an important resource for biology, evolution, and conservation research.
Collapse
Affiliation(s)
- Yury V Bukhman
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Phillip A Morin
- Southwest Fisheries Science Center, National Oceanic and Atmospheric Administration (NOAA), La Jolla, CA 92037, USA
| | - Susanne Meyer
- Neuroscience Research Institute, University of California, Santa Barbara, CA, USA
| | - Li-Fang Chu
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
- Department of Comparative Biology and Experimental Medicine, University of Calgary, Calgary, Canada
| | | | | | - Daniel Mamott
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Maylie Gonzales
- Neuroscience Research Institute, University of California, Santa Barbara, CA, USA
| | - Cara Argus
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Jennifer Bolin
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Mark E Berres
- University of Wisconsin Biotechnology Center, Bioinformatics Resource Center, University of Wisconsin - Madison, Madison, WI 53706, USA
| | - Olivier Fedrigo
- Vertebrate Genome Lab, The Rockefeller University, New York, NY 10065, USA
| | - John Steill
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Scott A Swanson
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Peng Jiang
- Center for Gene Regulation in Health and Disease (GRHD), Cleveland State University, Cleveland, OH, USA
- Department of Biological, Geological and Environmental Sciences, Cleveland State University, Cleveland, OH, USA
- Center for RNA Science and Therapeutics, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Arang Rhie
- Genome Informatics Section, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Giulio Formenti
- Laboratory of Neurogenetics of Language, The Rockefeller University/HHMI, New York, NY 10065, USA
| | - Adam M Phillippy
- Genome Informatics Section, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Robert S Harris
- Department of Biology, Pennsylvania State University, University Park, PA 16802, USA
| | | | - Kerstin Howe
- Tree of Life, Wellcome Sanger Institute, Cambridge CB10 1SA, UK
| | - Bogdan M Kirilenko
- LOEWE Centre for Translational Biodiversity Genomics, 60325 Frankfurt, Germany
- Senckenberg Research Institute, 60325 Frankfurt, Germany
- Institute of Cell Biology and Neuroscience, Faculty of Biosciences, Goethe University Frankfurt, 60438 Frankfurt, Germany
| | - Chetan Munegowda
- LOEWE Centre for Translational Biodiversity Genomics, 60325 Frankfurt, Germany
- Senckenberg Research Institute, 60325 Frankfurt, Germany
- Institute of Cell Biology and Neuroscience, Faculty of Biosciences, Goethe University Frankfurt, 60438 Frankfurt, Germany
| | - Michael Hiller
- LOEWE Centre for Translational Biodiversity Genomics, 60325 Frankfurt, Germany
- Senckenberg Research Institute, 60325 Frankfurt, Germany
- Institute of Cell Biology and Neuroscience, Faculty of Biosciences, Goethe University Frankfurt, 60438 Frankfurt, Germany
| | - Aashish Jain
- Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA
| | - Daisuke Kihara
- Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA
- Department of Biological Sciences, Purdue University, West Lafayette, IN 47907, USA
| | - J Spencer Johnston
- Department of Entomology, Texas A&M University, College Station, TX 77843, USA
| | - Alexander Ionkov
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Kalpana Raja
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Huishi Toh
- Neuroscience Research Institute, University of California, Santa Barbara, CA, USA
| | - Aimee Lang
- Southwest Fisheries Science Center, National Oceanic and Atmospheric Administration (NOAA), La Jolla, CA 92037, USA
| | - Magnus Wolf
- Institute for Evolution and Biodiversity (IEB), University of Muenster, 48149, Muenster, Germany
- Senckenberg Biodiversity and Climate Research Centre (BiK-F), Frankfurt am Main, Germany
| | - Erich D Jarvis
- Vertebrate Genome Lab, The Rockefeller University, New York, NY 10065, USA
- Laboratory of Neurogenetics of Language, The Rockefeller University/HHMI, New York, NY 10065, USA
| | - James A Thomson
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
- Department of Molecular, Cellular and Developmental Biology, University of California Santa Barbara, Santa Barbara, CA 93106, USA
- Department of Cell and Regenerative Biology, University of Wisconsin School of Medicine and Public Health, Madison, WI 53726, USA
| | - Mark J P Chaisson
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, Los Angeles, CA 90089, USA
| | - Ron Stewart
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| |
Collapse
|
5
|
Morin PA, Martien KK, Lang AR, Hancock-Hanser BL, Pease VL, Robertson KM, Sattler M, Slikas E, Rosel PE, Baker CS, Taylor BL, Archer FI. Guidelines and quantitative standards for improved cetacean taxonomy using full mitochondrial genomes. J Hered 2023; 114:612-624. [PMID: 37647537 DOI: 10.1093/jhered/esad049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 08/28/2023] [Indexed: 09/01/2023] Open
Abstract
In many organisms, especially those of conservation concern, traditional lines of evidence for taxonomic delineation, such as morphological data, are often difficult to obtain. In these cases, genetic data are often the only source of information available for taxonomic studies. In particular, population surveys of mitochondrial genomes offer increased resolution and precision in support of taxonomic decisions relative to conventional use of the control region or other gene fragments of the mitochondrial genome. To improve quantitative guidelines for taxonomic decisions in cetaceans, we build on a previous effort targeting the control region and evaluate, for whole mitogenome sequences, a suite of divergence and diagnosability estimates for pairs of recognized cetacean populations, subspecies, and species. From this overview, we recommend new guidelines based on complete mitogenomes, combined with other types of evidence for isolation and divergence, which will improve resolution for taxonomic decisions, especially in the face of small sample sizes or low levels of genetic diversity. We further use simulated data to assist interpretations of divergence in the context of varying forms of historical demography, culture, and ecology.
Collapse
Affiliation(s)
- Phillip A Morin
- Marine Mammal and Turtle Division, Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA, United States
| | - Karen K Martien
- Marine Mammal and Turtle Division, Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA, United States
| | - Aimee R Lang
- Marine Mammal and Turtle Division, Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA, United States
| | - Brittany L Hancock-Hanser
- Marine Mammal and Turtle Division, Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA, United States
| | - Victoria L Pease
- Marine Mammal and Turtle Division, Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA, United States
| | - Kelly M Robertson
- Marine Mammal and Turtle Division, Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA, United States
| | - Maya Sattler
- Marine Mammal and Turtle Division, Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA, United States
| | - Elizabeth Slikas
- School of Life Sciences, Center for Evolution and Medicine, Arizona State University, Tempe, AZ, United States
| | - Patricia E Rosel
- Marine Mammal and Turtle Division, Southeast Fisheries Science Center, National Marine Fisheries Service, NOAA, Lafayette, LA, United States
| | - C Scott Baker
- Marine Mammal Institute, Oregon State University, Newport, OR, United States
| | - Barbara L Taylor
- Marine Mammal and Turtle Division, Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA, United States
| | - Frederick I Archer
- Marine Mammal and Turtle Division, Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA, United States
| |
Collapse
|
6
|
Reeves IM, Totterdell JA, Betty EL, Donnelly DM, George A, Holmes S, Moller L, Stockin KA, Wellard R, White C, Foote AD. Ancestry testing of "Old Tom," a killer whale central to mutualistic interactions with human whalers. J Hered 2023; 114:598-611. [PMID: 37821799 PMCID: PMC10650950 DOI: 10.1093/jhered/esad058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 09/21/2023] [Indexed: 10/13/2023] Open
Abstract
Cooperative hunting between humans and killer whales (Orcinus orca) targeting baleen whales was reported in Eden, New South Wales, Australia, for almost a century. By 1928, whaling operations had ceased, and local killer whale sightings became scarce. A killer whale from the group, known as "Old Tom," washed up dead in 1930 and his skeleton was preserved. How these killer whales from Eden relate to other populations globally and whether their genetic descendants persist today remains unknown. We extracted and sequenced DNA from Old Tom using ancient DNA techniques. Genomic sequences were then compared with a global dataset of mitochondrial and nuclear genomes. Old Tom shared a most recent common ancestor with killer whales from Australasia, the North Atlantic, and the North Pacific, having the highest genetic similarity with contemporary New Zealand killer whales. However, much of the variation found in Old Tom's genome was not shared with these widespread populations, suggesting ancestral rather than ongoing gene flow. Our genetic comparisons also failed to find any clear descendants of Tom, raising the possibility of local extinction of this group. We integrated Traditional Custodian knowledge to recapture the events in Eden and recognize that Indigenous Australians initiated the relationship with the killer whales before European colonization and the advent of commercial whaling locally. This study rectifies discrepancies in local records and provides new insight into the origins of the killer whales in Eden and the history of Australasian killer whales.
Collapse
Affiliation(s)
- Isabella M Reeves
- Flinders University, College of Science and Engineering, Bedford Park, Adelaide,South Australia, Australia
- Cetacean Research Centre (CETREC WA), Esperance, Perth, Western Australia, Australia
| | - John A Totterdell
- Cetacean Research Centre (CETREC WA), Esperance, Perth, Western Australia, Australia
| | - Emma L Betty
- Cetacean Ecology Research Group, School of Natural Sciences, Massey University, Auckland, New Zealand
| | - David M Donnelly
- Killer Whales Australia, Mornington, Melbourne, Victoria, Australia
| | - Angela George
- Eden Killer Whale Museum, New South Wales, Sydney, Australia
| | - Steven Holmes
- Eden Killer Whale Museum, New South Wales, Sydney, Australia
| | - Luciana Moller
- Flinders University, College of Science and Engineering, Bedford Park, Adelaide,South Australia, Australia
- Cetacean Ecology, Behaviour and Evolution Laboratory, College of Science and Engineering, Flinders University, Bedford Park, Adelaide, South Australia, Australia
- Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Bedford Park, Adelaide, South Australia, Australia
| | - Karen A Stockin
- Cetacean Ecology Research Group, School of Natural Sciences, Massey University, Auckland, New Zealand
| | | | - Charlie White
- Flinders University, College of Science and Engineering, Bedford Park, Adelaide,South Australia, Australia
- Cetacean Ecology, Behaviour and Evolution Laboratory, College of Science and Engineering, Flinders University, Bedford Park, Adelaide, South Australia, Australia
| | - Andrew D Foote
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Biosciences, Centre for Ecological and Evolutionary Synthesis, University of Oslo, Oslo, Norway
| |
Collapse
|
7
|
Foote A, Bunskoek P. The genome sequence of the killer whale, Orcinus orca (Linnaeus, 1758). Wellcome Open Res 2022; 7:250. [PMID: 36974126 PMCID: PMC10039322 DOI: 10.12688/wellcomeopenres.18278.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/23/2022] [Indexed: 11/20/2022] Open
Abstract
We present a genome assembly from an individual female Orcinus orca (the killer whale; Chordata; Mammalia; Artiodactyla; Delphinidae). The genome sequence is 2.65 gigabases in span. The majority of the assembly (93.76%) is scaffolded into 22 chromosomal pseudomolecules with the X sex chromosome assembled. The complete mitochondrial genome was also assembled and is 16.4 kilobases in length.
Collapse
Affiliation(s)
- Andrew Foote
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | | | | | | | - Tree of Life Core Informatics collective
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Dolfinarium Harderwijk, Harderwijk, Netherlands Antilles
| | | |
Collapse
|
8
|
Foote AD, Hooper R, Alexander A, Baird RW, Baker CS, Ballance L, Barlow J, Brownlow A, Collins T, Constantine R, Dalla Rosa L, Davison NJ, Durban JW, Esteban R, Excoffier L, Martin SLF, Forney KA, Gerrodette T, Gilbert MTP, Guinet C, Hanson MB, Li S, Martin MD, Robertson KM, Samarra FIP, de Stephanis R, Tavares SB, Tixier P, Totterdell JA, Wade P, Wolf JBW, Fan G, Zhang Y, Morin PA. Runs of homozygosity in killer whale genomes provide a global record of demographic histories. Mol Ecol 2021; 30:6162-6177. [PMID: 34416064 DOI: 10.1111/mec.16137] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 08/10/2021] [Accepted: 08/18/2021] [Indexed: 02/06/2023]
Abstract
Runs of homozygosity (ROH) occur when offspring inherit haplotypes that are identical by descent from each parent. Length distributions of ROH are informative about population history; specifically, the probability of inbreeding mediated by mating system and/or population demography. Here, we investigated whether variation in killer whale (Orcinus orca) demographic history is reflected in genome-wide heterozygosity and ROH length distributions, using a global data set of 26 genomes representative of geographic and ecotypic variation in this species, and two F1 admixed individuals with Pacific-Atlantic parentage. We first reconstructed demographic history for each population as changes in effective population size through time using the pairwise sequential Markovian coalescent (PSMC) method. We found a subset of populations declined in effective population size during the Late Pleistocene, while others had more stable demography. Genomes inferred to have undergone ancestral declines in effective population size, were autozygous at hundreds of short ROH (<1 Mb), reflecting high background relatedness due to coalescence of haplotypes deep within the pedigree. In contrast, longer and therefore younger ROH (>1.5 Mb) were found in low latitude populations, and populations of known conservation concern. These include a Scottish killer whale, for which 37.8% of the autosomes were comprised of ROH >1.5 Mb in length. The fate of this population, in which only two adult males have been sighted in the past five years, and zero fecundity over the last two decades, may be inextricably linked to its demographic history and consequential inbreeding depression.
Collapse
Affiliation(s)
- Andrew D Foote
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU, Trondheim, Norway.,Molecular Ecology and Fisheries Genetics Laboratory, School of Biological Sciences, Bangor University, Bangor, Gwynedd, UK.,CMPG, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
| | - Rebecca Hooper
- University of Exeter, Penryn Campus, Penryn, Cornwall, UK
| | - Alana Alexander
- Department of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand
| | | | - Charles Scott Baker
- Marine Mammal Institute, Oregon State University, Newport, Oregon, USA.,School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Lisa Ballance
- Marine Mammal Institute, Oregon State University, Newport, Oregon, USA.,Marine Mammal and Turtle Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanographic and Atmospheric Administration, La Jolla, California, USA
| | - Jay Barlow
- Marine Mammal and Turtle Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanographic and Atmospheric Administration, La Jolla, California, USA
| | - Andrew Brownlow
- Scottish Marine Animal Stranding Scheme, Institute of Biodiversity, Animal Health & Comparative Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, UK
| | - Tim Collins
- Ocean Giants Program, Wildlife Conservation Society, New York City, New York
| | | | - Luciano Dalla Rosa
- Laboratório de Ecologia e Conservação da Megafauna Marinha, Instituto de Oceanografia, Universidade Federal do Rio Grande, Rio Grande, Brazil
| | - Nicholas J Davison
- Scottish Marine Animal Stranding Scheme, Institute of Biodiversity, Animal Health & Comparative Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, UK
| | - John W Durban
- Marine Mammal Institute, Oregon State University, Newport, Oregon, USA.,Marine Mammal and Turtle Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanographic and Atmospheric Administration, La Jolla, California, USA
| | - Ruth Esteban
- CIRCE, Conservation, Information and Research on Cetaceans, Algeciras, Spain
| | - Laurent Excoffier
- CMPG, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
| | - Sarah L Fordyce Martin
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU, Trondheim, Norway
| | - Karin A Forney
- Marine Mammal and Turtle Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Moss Landing, California, USA.,Moss Landing Marine Laboratories, San Jose State University, Moss Landing, California, USA
| | - Tim Gerrodette
- Marine Mammal and Turtle Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanographic and Atmospheric Administration, La Jolla, California, USA
| | - M Thomas P Gilbert
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU, Trondheim, Norway.,Section for Evolutionary Genomics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Christophe Guinet
- UMR 7372 La Rochelle Université - CNRS, Centre d'Etudes Biologiques de Chizé (CEBC), Villiers-en-Bois, France
| | - M Bradley Hanson
- National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Northwest Fisheries Science Center, Seattle, Washington, USA
| | - Songhai Li
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-Sea Science and Engineering, Chinese Academy of Science, Sanya, China
| | - Michael D Martin
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU, Trondheim, Norway
| | - Kelly M Robertson
- Marine Mammal and Turtle Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanographic and Atmospheric Administration, La Jolla, California, USA
| | - Filipa I P Samarra
- University of Iceland's Institute of Research Centres, Vestmannaeyjar, Iceland
| | - Renaud de Stephanis
- CIRCE, Conservation, Information and Research on Cetaceans, Algeciras, Spain
| | - Sara B Tavares
- Scottish Oceans Institute, East Sands, University of St. Andrews, St. Andrews, UK.,Cetacean Research Program, Pacific Biological Station, Fisheries and Oceans Canada, Nanaimo, Canada
| | - Paul Tixier
- UMR 7372 La Rochelle Université - CNRS, Centre d'Etudes Biologiques de Chizé (CEBC), Villiers-en-Bois, France.,MARBEC Université de Montpellier-CNRS-IFREMER-IRD, Sète, France
| | | | - Paul Wade
- National Marine Mammal Laboratory, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Alaska Fisheries Science Center, Seattle, Washington, USA
| | - Jochen B W Wolf
- Section of Evolutionary Biology, Department of Biology II, Ludwig Maximilian University of Munich, Planegg-Martinsried, Germany
| | - Guangyi Fan
- BGI-Qingdao, BGI-Shenzhen, Qingdao, China.,BGI-Shenzhen, Shenzhen, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Yaolei Zhang
- BGI-Qingdao, BGI-Shenzhen, Qingdao, China.,Translational Immunology group, Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark
| | - Phillip A Morin
- Marine Mammal and Turtle Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanographic and Atmospheric Administration, La Jolla, California, USA
| |
Collapse
|
9
|
Davison NJ, Dagleish MP, Dale EJ, Ten Doeschate M, Muchowski J, Perrett LL, Rocchi M, Whatmore AM, Brownlow AC. First confirmed reports of the isolation of Brucella ceti from a Risso's dolphin Grampus griseus and a killer whale Orcinus orca. DISEASES OF AQUATIC ORGANISMS 2021; 145:191-195. [PMID: 34263734 DOI: 10.3354/dao03612] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Brucella ceti has been recovered from a number species of cetaceans worldwide over the last 25 yr. Here we report, for the first time, the recovery of B. ceti from a Risso's dolphin Grampus griseus and a killer whale Orcinus orca. Recovery from an abdominal mass in the dolphin provides further evidence of the systemic pathogenic potential for B. ceti infection in cetaceans. The isolation of B. ceti ST23 (porpoise cluster) from a killer whale from a group known to eat other marine mammals raises the possibility of infection via ingestion. This report takes the number of cetacean species in UK coastal waters from which B. ceti has been isolated to 11 and highlights the value of routine, comprehensive and specific screening for significant pathogens such as Brucella sp. by strandings networks.
Collapse
Affiliation(s)
- Nicholas J Davison
- Scottish Marine Animal Stranding Scheme, SRUC Northern Faculty, An Lòchran, Inverness Campus, Inverness IV2 5NA, UK
| | | | | | | | | | | | | | | | | |
Collapse
|
10
|
Kess T, Dempson JB, Lehnert SJ, Layton KKS, Einfeldt A, Bentzen P, Salisbury SJ, Messmer AM, Duffy S, Ruzzante DE, Nugent CM, Ferguson MM, Leong JS, Koop BF, O'Connell MF, Bradbury IR. Genomic basis of deep-water adaptation in Arctic Charr (Salvelinus alpinus) morphs. Mol Ecol 2021; 30:4415-4432. [PMID: 34152667 DOI: 10.1111/mec.16033] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 05/28/2021] [Accepted: 06/03/2021] [Indexed: 12/30/2022]
Abstract
The post-glacial colonization of Gander Lake in Newfoundland, Canada, by Arctic Charr (Salvelinus alpinus) provides the opportunity to study the genomic basis of adaptation to extreme deep-water environments. Colonization of deep-water (>50 m) habitats often requires extensive adaptation to cope with novel environmental challenges from high hydrostatic pressure, low temperature, and low light, but the genomic mechanisms underlying evolution in these environments are rarely known. Here, we compare genomic divergence between a deep-water morph adapted to depths of up to 288 m and a larger, piscivorous pelagic morph occupying shallower depths. Using both a SNP array and resequencing of whole nuclear and mitochondrial genomes, we find clear genetic divergence (FST = 0.11-0.15) between deep and shallow water morphs, despite an absence of morph divergence across the mitochondrial genome. Outlier analyses identified many diverged genomic regions containing genes enriched for processes such as gene expression and DNA repair, cardiac function, and membrane transport. Detection of putative copy number variants (CNVs) uncovered 385 genes with CNVs distinct to piscivorous morphs, and 275 genes with CNVs distinct to deep-water morphs, enriched for processes associated with synapse assembly. Demographic analyses identified evidence for recent and local morph divergence, and ongoing reductions in diversity consistent with postglacial colonization. Together, these results show that Arctic Charr morph divergence has occurred through genome-wide differentiation and elevated divergence of genes underlying multiple cellular and physiological processes, providing insight into the genomic basis of adaptation in a deep-water habitat following postglacial recolonization.
Collapse
Affiliation(s)
- Tony Kess
- Fisheries and Oceans Canada, Northwest Atlantic Fisheries Centre, St. John's, NL, Canada
| | - J Brian Dempson
- Fisheries and Oceans Canada, Northwest Atlantic Fisheries Centre, St. John's, NL, Canada
| | - Sarah J Lehnert
- Fisheries and Oceans Canada, Northwest Atlantic Fisheries Centre, St. John's, NL, Canada
| | - Kara K S Layton
- School of Biological Sciences, University of Aberdeen, Aberdeen, UK
| | - Anthony Einfeldt
- Department of Biology, Dalhousie University, Halifax, NS, Canada
| | - Paul Bentzen
- Department of Biology, Dalhousie University, Halifax, NS, Canada
| | | | - Amber M Messmer
- Fisheries and Oceans Canada, Northwest Atlantic Fisheries Centre, St. John's, NL, Canada
| | - Steven Duffy
- Fisheries and Oceans Canada, Northwest Atlantic Fisheries Centre, St. John's, NL, Canada
| | | | - Cameron M Nugent
- Department of Integrative Biology, University of Guelph, Guelph, ON, Canada
| | - Moira M Ferguson
- Department of Integrative Biology, University of Guelph, Guelph, ON, Canada
| | - Jong S Leong
- Department of Biology, University of Victoria, Victoria, BC, Canada
| | - Ben F Koop
- Department of Biology, University of Victoria, Victoria, BC, Canada
| | - Michael F O'Connell
- Fisheries and Oceans Canada, Northwest Atlantic Fisheries Centre, St. John's, NL, Canada
| | - Ian R Bradbury
- Fisheries and Oceans Canada, Northwest Atlantic Fisheries Centre, St. John's, NL, Canada
| |
Collapse
|
11
|
Prada C, Hellberg ME. Speciation-by-depth on coral reefs: Sympatric divergence with gene flow or cryptic transient isolation? J Evol Biol 2021; 34:128-137. [PMID: 33140895 PMCID: PMC7894305 DOI: 10.1111/jeb.13731] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 07/21/2020] [Accepted: 09/29/2020] [Indexed: 12/30/2022]
Abstract
The distributions of many sister species in the sea overlap geographically but are partitioned along depth gradients. The genetic changes leading to depth segregation may evolve in geographic isolation as a prerequisite to coexistence or may emerge during primary divergence leading to new species. These alternatives can now be distinguished via the power endowed by the thousands of scorable loci provided by second-generation sequence data. Here, we revisit the case of two depth-segregated, genetically isolated ecotypes of the nominal Caribbean candelabrum coral Eunicea flexuosa. Previous analyses based on a handful of markers could not distinguish between models of genetic exchange after a period of isolation (consistent with secondary contact) and divergence with gene flow (consistent with primary divergence). Analyses of the history of isolation, genetic exchange and population size based on 15,640 new SNP markers derived from RNAseq data best support models where divergence began 800K BP and include epochs of divergence with gene flow, but with an intermediate period of transient isolation. Results also supported the previous conclusion that recent exchange between the ecotypes occurs asymmetrically from the Shallow lineage to the Deep. Parallel analyses of data from two other corals with depth-segregated populations (Agaricia fragilis and Pocillopora damicornis) suggest divergence leading to depth-segregated populations may begin with a period of symmetric exchange, but that an epoch of population isolation precedes more complete isolation marked by asymmetric introgression. Thus, while divergence-with-gene flow may account for much of the differentiation that separates closely related, depth-segregated species, it remains to be seen whether any critical steps in the speciation process only occur when populations are isolated.
Collapse
Affiliation(s)
- Carlos Prada
- Department of Biological SciencesUniversity of Rhode IslandKingstonRIUSA
| | | |
Collapse
|
12
|
Popovic I, Bierne N, Gaiti F, Tanurdžić M, Riginos C. Pre-introduction introgression contributes to parallel differentiation and contrasting hybridization outcomes between invasive and native marine mussels. J Evol Biol 2020; 34:175-192. [PMID: 33251632 DOI: 10.1111/jeb.13746] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 11/01/2020] [Accepted: 11/11/2020] [Indexed: 12/28/2022]
Abstract
Non-native species experience novel selection pressures in introduced environments and may interbreed with native lineages. Species introductions therefore provide opportunities to investigate repeated patterns of adaptation and introgression across replicated contact zones. Here, we investigate genetic parallelism between multiple introduced populations of the invasive marine mussel, Mytilus galloprovincialis, in the absence (South Africa and California) and presence of hybridization with a native congener (Mytilus planulatus in Batemans Bay and Sydney Harbour, Australia). Repeatability in post-introduction differentiation from native-range populations varied between genetically distinct Atlantic and Mediterranean lineages, with Atlantic-derived introductions displaying high differentiation (maxFST > 0.4) and parallelism at outlier loci. Identification of long noncoding RNA transcripts (lncRNA) additionally allowed us to clarify that parallel responses are largely limited to protein-coding loci, with lncRNAs likely evolving under evolutionary constraints. Comparisons of independent hybrid zones revealed differential introgression most strongly in Batemans Bay, with an excess of M. galloprovincialis ancestry and resistance to introgression at loci differentiating parental lineages (M. planulatus and Atlantic M. galloprovincialis). Additionally, contigs putatively introgressed with divergent alleles from a closely related species, Mytilus edulis, showed stronger introgression asymmetries compared with genome-wide trends and also diverged in parallel in both Atlantic-derived introductions. These results suggest that divergent demographic histories experienced by introduced lineages, including pre-introduction introgression, influence contemporary admixture dynamics. Our findings build on previous investigations reporting contributions of historical introgression to intrinsic reproductive architectures shared between marine lineages and illustrate that interspecific introgression history can shape differentiation between colonizing populations and their hybridization with native congeners.
Collapse
Affiliation(s)
- Iva Popovic
- School of Biological Sciences, University of Queensland, St Lucia, Qld, Australia
| | - Nicolas Bierne
- Institut des Sciences de l'Evolution UMR 5554, Université de Montpellier, CNRS-IRD-EPHE-UM, Montpellier, France
| | - Federico Gaiti
- Weill Cornell Medicine, New York, NY, USA.,New York Genome Center, New York, NY, USA
| | - Miloš Tanurdžić
- School of Biological Sciences, University of Queensland, St Lucia, Qld, Australia
| | - Cynthia Riginos
- School of Biological Sciences, University of Queensland, St Lucia, Qld, Australia
| |
Collapse
|
13
|
Morin PA, Archer FI, Avila CD, Balacco JR, Bukhman YV, Chow W, Fedrigo O, Formenti G, Fronczek JA, Fungtammasan A, Gulland FMD, Haase B, Peter Heide-Jorgensen M, Houck ML, Howe K, Misuraca AC, Mountcastle J, Musser W, Paez S, Pelan S, Phillippy A, Rhie A, Robinson J, Rojas-Bracho L, Rowles TK, Ryder OA, Smith CR, Stevenson S, Taylor BL, Teilmann J, Torrance J, Wells RS, Westgate AJ, Jarvis ED. Reference genome and demographic history of the most endangered marine mammal, the vaquita. Mol Ecol Resour 2020; 21:1008-1020. [PMID: 33089966 PMCID: PMC8247363 DOI: 10.1111/1755-0998.13284] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 09/08/2020] [Accepted: 10/08/2020] [Indexed: 12/12/2022]
Abstract
The vaquita is the most critically endangered marine mammal, with fewer than 19 remaining in the wild. First described in 1958, the vaquita has been in rapid decline for more than 20 years resulting from inadvertent deaths due to the increasing use of large-mesh gillnets. To understand the evolutionary and demographic history of the vaquita, we used combined long-read sequencing and long-range scaffolding methods with long- and short-read RNA sequencing to generate a near error-free annotated reference genome assembly from cell lines derived from a female individual. The genome assembly consists of 99.92% of the assembled sequence contained in 21 nearly gapless chromosome-length autosome scaffolds and the X-chromosome scaffold, with a scaffold N50 of 115 Mb. Genome-wide heterozygosity is the lowest (0.01%) of any mammalian species analysed to date, but heterozygosity is evenly distributed across the chromosomes, consistent with long-term small population size at genetic equilibrium, rather than low diversity resulting from a recent population bottleneck or inbreeding. Historical demography of the vaquita indicates long-term population stability at less than 5,000 (Ne) for over 200,000 years. Together, these analyses indicate that the vaquita genome has had ample opportunity to purge highly deleterious alleles and potentially maintain diversity necessary for population health.
Collapse
Affiliation(s)
- Phillip A Morin
- Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA, USA
| | - Frederick I Archer
- Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA, USA
| | - Catherine D Avila
- San Diego Zoo Institute for Conservation Research, Escondido, CA, USA
| | - Jennifer R Balacco
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Yury V Bukhman
- Regenerative Biology, Morgridge Institute for Research, Madison, WI, USA
| | | | - Olivier Fedrigo
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Giulio Formenti
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Julie A Fronczek
- San Diego Zoo Institute for Conservation Research, Escondido, CA, USA
| | | | | | - Bettina Haase
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | | | - Marlys L Houck
- San Diego Zoo Institute for Conservation Research, Escondido, CA, USA
| | | | - Ann C Misuraca
- San Diego Zoo Institute for Conservation Research, Escondido, CA, USA
| | | | | | - Sadye Paez
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | | | - Adam Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Jacqueline Robinson
- Institute for Human Genetics, University of California, San Francisco, CA, USA
| | | | - Teri K Rowles
- Office of Protected Resources, National Marine Fisheries Service, NOAA, Silver Spring, MD, USA
| | - Oliver A Ryder
- San Diego Zoo Institute for Conservation Research, Escondido, CA, USA
| | | | | | - Barbara L Taylor
- Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA, USA
| | - Jonas Teilmann
- Marine Mammal Research, Department of Bioscience, Aarhus University, Roskilde, Denmark
| | | | - Randall S Wells
- Chicago Zoological Society's Sarasota Dolphin Research Program, c/o Mote Marine Laboratory, Sarasota, FL, USA
| | | | - Erich D Jarvis
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA.,Howard Hughes Medical Institute, Chevy Chase, MD, USA
| |
Collapse
|
14
|
Simon A, Fraïsse C, El Ayari T, Liautard-Haag C, Strelkov P, Welch JJ, Bierne N. How do species barriers decay? Concordance and local introgression in mosaic hybrid zones of mussels. J Evol Biol 2020; 34:208-223. [PMID: 33045123 DOI: 10.1111/jeb.13709] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 08/20/2020] [Accepted: 09/16/2020] [Indexed: 12/19/2022]
Abstract
The Mytilus complex of marine mussel species forms a mosaic of hybrid zones, found across temperate regions of the globe. This allows us to study 'replicated' instances of secondary contact between closely related species. Previous work on this complex has shown that local introgression is both widespread and highly heterogeneous, and has identified SNPs that are outliers of differentiation between lineages. Here, we developed an ancestry-informative panel of such SNPs. We then compared their frequencies in newly sampled populations, including samples from within the hybrid zones, and parental populations at different distances from the contact. Results show that close to the hybrid zones, some outlier loci are near to fixation for the heterospecific allele, suggesting enhanced local introgression, or the local sweep of a shared ancestral allele. Conversely, genomic cline analyses, treating local parental populations as the reference, reveal a globally high concordance among loci, albeit with a few signals of asymmetric introgression. Enhanced local introgression at specific loci is consistent with the early transfer of adaptive variants after contact, possibly including asymmetric bi-stable variants (Dobzhansky-Muller incompatibilities), or haplotypes loaded with fewer deleterious mutations. Having escaped one barrier, however, these variants can be trapped or delayed at the next barrier, confining the introgression locally. These results shed light on the decay of species barriers during phases of contact.
Collapse
Affiliation(s)
- Alexis Simon
- ISEM, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France
| | - Christelle Fraïsse
- ISEM, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France.,Institute of Science and Technology Austria, Klosterneuburg, Austria, Austria
| | - Tahani El Ayari
- ISEM, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France
| | | | - Petr Strelkov
- St. Petersburg State University, St. Petersburg, Russia.,Laboratory of Monitoring and Conservation of Natural Arctic Ecosystems, Murmansk Arctic State University, Murmansk, Russia
| | - John J Welch
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Nicolas Bierne
- ISEM, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France
| |
Collapse
|
15
|
Duranton M, Allal F, Valière S, Bouchez O, Bonhomme F, Gagnaire PA. The contribution of ancient admixture to reproductive isolation between European sea bass lineages. Evol Lett 2020; 4:226-242. [PMID: 32547783 PMCID: PMC7293100 DOI: 10.1002/evl3.169] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 01/02/2020] [Accepted: 03/05/2020] [Indexed: 12/20/2022] Open
Abstract
Understanding how new species arise through the progressive establishment of reproductive isolation (RI) barriers between diverging populations is a major goal in Evolutionary Biology. An important result of speciation genomics studies is that genomic regions involved in RI frequently harbor anciently diverged haplotypes that predate the reconstructed history of species divergence. The possible origins of these old alleles remain much debated, as they relate to contrasting mechanisms of speciation that are not yet fully understood. In the European sea bass (Dicentrarchus labrax), the genomic regions involved in RI between Atlantic and Mediterranean lineages are enriched for anciently diverged alleles of unknown origin. Here, we used haplotype-resolved whole-genome sequences to test whether divergent haplotypes could have originated from a closely related species, the spotted sea bass (Dicentrarchus punctatus). We found that an ancient admixture event between D. labrax and D. punctatus is responsible for the presence of shared derived alleles that segregate at low frequencies in both lineages of D. labrax. An exception to this was found within regions involved in RI between the two D. labrax lineages. In those regions, archaic tracts originating from D. punctatus locally reached high frequencies or even fixation in Atlantic genomes but were almost absent in the Mediterranean. We showed that the ancient admixture event most likely occurred between D. punctatus and the D. labrax Atlantic lineage, while Atlantic and Mediterranean D. labrax lineages were experiencing allopatric isolation. Our results suggest that local adaptive introgression and/or the resolution of genomic conflicts provoked by ancient admixture have probably contributed to the establishment of RI between the two D. labrax lineages.
Collapse
Affiliation(s)
- Maud Duranton
- ISEM Univ Montpellier, CNRS, EPHE, IRD Montpellier France
| | - François Allal
- MARBEC Université de Montpellier, Ifremer-CNRS-IRD-UM Palavas-les-Flots 34250 France
| | - Sophie Valière
- INRA, US 1426, GeT-PlaGe Genotoul Castanet-Tolosan 31326 France
| | - Olivier Bouchez
- INRA, US 1426, GeT-PlaGe Genotoul Castanet-Tolosan 31326 France
| | | | | |
Collapse
|
16
|
Dehasque M, Ávila‐Arcos MC, Díez‐del‐Molino D, Fumagalli M, Guschanski K, Lorenzen ED, Malaspinas A, Marques‐Bonet T, Martin MD, Murray GGR, Papadopulos AST, Therkildsen NO, Wegmann D, Dalén L, Foote AD. Inference of natural selection from ancient DNA. Evol Lett 2020; 4:94-108. [PMID: 32313686 PMCID: PMC7156104 DOI: 10.1002/evl3.165] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 01/13/2020] [Accepted: 02/02/2020] [Indexed: 01/01/2023] Open
Abstract
Evolutionary processes, including selection, can be indirectly inferred based on patterns of genomic variation among contemporary populations or species. However, this often requires unrealistic assumptions of ancestral demography and selective regimes. Sequencing ancient DNA from temporally spaced samples can inform about past selection processes, as time series data allow direct quantification of population parameters collected before, during, and after genetic changes driven by selection. In this Comment and Opinion, we advocate for the inclusion of temporal sampling and the generation of paleogenomic datasets in evolutionary biology, and highlight some of the recent advances that have yet to be broadly applied by evolutionary biologists. In doing so, we consider the expected signatures of balancing, purifying, and positive selection in time series data, and detail how this can advance our understanding of the chronology and tempo of genomic change driven by selection. However, we also recognize the limitations of such data, which can suffer from postmortem damage, fragmentation, low coverage, and typically low sample size. We therefore highlight the many assumptions and considerations associated with analyzing paleogenomic data and the assumptions associated with analytical methods.
Collapse
Affiliation(s)
- Marianne Dehasque
- Centre for Palaeogenetics10691StockholmSweden
- Department of Bioinformatics and GeneticsSwedish Museum of Natural History10405StockholmSweden
- Department of ZoologyStockholm University10691StockholmSweden
| | - María C. Ávila‐Arcos
- International Laboratory for Human Genome Research (LIIGH)UNAM JuriquillaQueretaro76230Mexico
| | - David Díez‐del‐Molino
- Centre for Palaeogenetics10691StockholmSweden
- Department of ZoologyStockholm University10691StockholmSweden
| | - Matteo Fumagalli
- Department of Life Sciences, Silwood Park CampusImperial College LondonAscotSL5 7PYUnited Kingdom
| | - Katerina Guschanski
- Animal Ecology, Department of Ecology and Genetics, Science for Life LaboratoryUppsala University75236UppsalaSweden
| | | | - Anna‐Sapfo Malaspinas
- Department of Computational BiologyUniversity of Lausanne1015LausanneSwitzerland
- SIB Swiss Institute of Bioinformatics1015LausanneSwitzerland
| | - Tomas Marques‐Bonet
- Institut de Biologia Evolutiva(CSIC‐Universitat Pompeu Fabra), Parc de Recerca Biomèdica de BarcelonaBarcelonaSpain
- National Centre for Genomic Analysis—Centre for Genomic RegulationBarcelona Institute of Science and Technology08028BarcelonaSpain
- Institucio Catalana de Recerca i Estudis Avançats08010BarcelonaSpain
- Institut Català de Paleontologia Miquel CrusafontUniversitat Autònoma de BarcelonaCerdanyola del VallèsSpain
| | - Michael D. Martin
- Department of Natural History, NTNU University MuseumNorwegian University of Science and Technology (NTNU)TrondheimNorway
| | - Gemma G. R. Murray
- Department of Veterinary MedicineUniversity of CambridgeCambridgeCB2 1TNUnited Kingdom
| | - Alexander S. T. Papadopulos
- Molecular Ecology and Fisheries Genetics Laboratory, School of Biological SciencesBangor UniversityBangorLL57 2UWUnited Kingdom
| | | | - Daniel Wegmann
- Department of BiologyUniversité de Fribourg1700FribourgSwitzerland
- Swiss Institute of BioinformaticsFribourgSwitzerland
| | - Love Dalén
- Centre for Palaeogenetics10691StockholmSweden
- Department of Bioinformatics and GeneticsSwedish Museum of Natural History10405StockholmSweden
| | - Andrew D. Foote
- Molecular Ecology and Fisheries Genetics Laboratory, School of Biological SciencesBangor UniversityBangorLL57 2UWUnited Kingdom
| |
Collapse
|
17
|
Lefort K, Matthews C, Higdon J, Petersen S, Westdal K, Garroway C, Ferguson S. A review of Canadian Arctic killer whale (Orcinus orca) ecology. CAN J ZOOL 2020. [DOI: 10.1139/cjz-2019-0207] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
The killer whale (Orcinus orca (Linnaeus, 1758)) is a widely distributed marine predator with a broad ecological niche at the species level with evidence of specialization and narrow ecological niches among populations. Their occurrence in Canadian Arctic waters is limited by sea ice and it has been suggested that climate warming, which has caused increases in the area of ice-free water and duration of the ice-free season, has led to an increased killer whale presence during the open-water period. In this review, we summarize our knowledge of Canadian Arctic killer whale demographics and ecology, synthesizing published and previously unpublished information in a single document. More specifically, we summarize our knowledge of killer whale population size and trends, distribution and seasonality (including results from recent satellite-tracking studies), feeding ecology, and threats, and identify research priorities in the Canadian Arctic. Despite increased research efforts during the past decade, our demographic and ecological knowledge remains incomplete. An improved ecological understanding is necessary for effective management of killer whales and their prey, species of ecological, economic, and cultural importance to Canadian Inuit and the marine ecosystem. This knowledge will allow us to better understand the ecological consequences of a changing Arctic climate.
Collapse
Affiliation(s)
- K.J. Lefort
- Department of Biological Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
- Arctic Aquatic Research Division, Fisheries and Oceans Canada, Winnipeg, MB R3T 2N6, Canada
| | - C.J.D. Matthews
- Arctic Aquatic Research Division, Fisheries and Oceans Canada, Winnipeg, MB R3T 2N6, Canada
| | - J.W. Higdon
- Higdon Wildlife Consulting, Winnipeg, MB R2M 0L3, Canada
| | - S.D. Petersen
- Conservation and Research Department, Assiniboine Park Zoo, Winnipeg, MB R3P 2N7, Canada
| | | | - C.J. Garroway
- Department of Biological Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - S.H. Ferguson
- Department of Biological Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
- Arctic Aquatic Research Division, Fisheries and Oceans Canada, Winnipeg, MB R3T 2N6, Canada
| |
Collapse
|
18
|
Ottenburghs J. Ghost Introgression: Spooky Gene Flow in the Distant Past. Bioessays 2020; 42:e2000012. [DOI: 10.1002/bies.202000012] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Revised: 02/25/2020] [Indexed: 01/25/2023]
Affiliation(s)
- Jente Ottenburghs
- Department of Evolutionary Biology, Evolutionary Biology Centre Uppsala University Norbyvägen 18D Uppsala SE‐752 36 Sweden
- Wildlife Ecology and Conservation Group Wageningen University Droevendaalsesteeg 3a Wageningen 6708 PB The Netherlands
- Forest Ecology and Forest Management Group Wageningen University Droevendaalsesteeg 3a Wageningen 6708 PB The Netherlands
| |
Collapse
|
19
|
Wang X, Maher KH, Zhang N, Que P, Zheng C, Liu S, Wang B, Huang Q, Chen D, Yang X, Zhang Z, Székely T, Urrutia AO, Liu Y. Demographic Histories and Genome-Wide Patterns of Divergence in Incipient Species of Shorebirds. Front Genet 2019; 10:919. [PMID: 31781152 PMCID: PMC6857203 DOI: 10.3389/fgene.2019.00919] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2019] [Accepted: 08/30/2019] [Indexed: 12/30/2022] Open
Abstract
Understanding how incipient species are maintained with gene flow is a fundamental question in evolutionary biology. Whole genome sequencing of multiple individuals holds great potential to illustrate patterns of genomic differentiation as well as the associated evolutionary histories. Kentish (Charadrius alexandrinus) and the white-faced (C. dealbatus) plovers, which differ in their phenotype, ecology and behavior, are two incipient species and parapatrically distributed in East Asia. Previous studies show evidence of genetic diversification with gene flow between the two plovers. Under this scenario, it is of great importance to explore the patterns of divergence at the genomic level and to determine whether specific regions are involved in reproductive isolation and local adaptation. Here we present the first population genomic analysis of the two incipient species based on the de novo Kentish plover reference genome and resequenced populations. We show that the two plover lineages are distinct in both nuclear and mitochondrial genomes. Using model-based coalescence analysis, we found that population sizes of Kentish plover increased whereas white-faced plovers declined during the Last Glaciation Period. Moreover, the two plovers diverged allopatrically, with gene flow occurring after secondary contact. This has resulted in low levels of genome-wide differentiation, although we found evidence of a few highly differentiated genomic regions in both the autosomes and the Z-chromosome. This study illustrates that incipient shorebird species with gene flow after secondary contact can exhibit discrete divergence at specific genomic regions and provides basis to further exploration on the genetic basis of relevant phenotypic traits.
Collapse
Affiliation(s)
- Xuejing Wang
- State Key Laboratory of Biocontrol, Department of Ecology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Kathryn H Maher
- Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom.,Department of Animal and Plant Sciences, University of Sheffield, Sheffield, United Kingdom
| | - Nan Zhang
- State Key Laboratory of Biocontrol, Department of Ecology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Pinjia Que
- Ministry of Education Key Laboratory for Biodiversity and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Chenqing Zheng
- State Key Laboratory of Biocontrol, Department of Ecology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.,Department of Bioinformatics, Shenzhen Realomics Biological Technology Ltd, Shenzhen, China
| | - Simin Liu
- State Key Laboratory of Biocontrol, Department of Ecology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Biao Wang
- School of Biosciences, University of Melbourne, Parkville, VIC, Australia
| | - Qin Huang
- State Key Laboratory of Biocontrol, Department of Ecology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - De Chen
- Ministry of Education Key Laboratory for Biodiversity and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Xu Yang
- Department of Bioinformatics, Shenzhen Realomics Biological Technology Ltd, Shenzhen, China
| | - Zhengwang Zhang
- Ministry of Education Key Laboratory for Biodiversity and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Tamás Székely
- State Key Laboratory of Biocontrol, Department of Ecology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.,Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom.,Ministry of Education Key Laboratory for Biodiversity and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Araxi O Urrutia
- Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom.,Instituto de Ecología, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - Yang Liu
- State Key Laboratory of Biocontrol, Department of Ecology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| |
Collapse
|